
Last Posted: Jun 19, 2024
- Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects.
U A Lyakhova et al. Comput Biol Med 2024 178108742 - Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.
Kanchana K et al. Asian Pac J Cancer Prev 2024 25(5) 1795-1802 - Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification.
Irfan Ali Kandhro et al. Heliyon 2024 10(10) e31488 - A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis.
Maria Paz Salinas et al. NPJ Digit Med 2024 7(1) 125 - Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.
Susanne Gaube et al. Soc Sci Med 2024 349116871 - Artificial intelligence and skin cancer.
Maria L Wei et al. Front Med (Lausanne) 2024 111331895 - Basic principles of artificial intelligence in dermatology explained using melanoma.
Tim Hartmann et al. J Dtsch Dermatol Ges 2024 - Deep learning models across the range of skin disease.
Kaushik P Venkatesh et al. NPJ Digit Med 2024 2 (1) 32 - Genetic Risk Factors for Early-Onset Merkel Cell Carcinoma.
Noreen Mohsin et al. JAMA Dermatol 2024 - Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance.
Lucy Thomas et al. Front Med (Lausanne) 2023 101264846
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.